Position Summary
We are seeking outstanding technologists with sophisticated mathematical, statistical, and/or machine learning abilities to join our team. Equal parts code specialists and quantitative problem solvers, our quantitative software engineers grapple with difficult computational and data-related problems directly and implement efficient and innovative solutions. Entailing a sophisticated knowledge of algorithms and high-performance computing, these efforts have attracted ACM programming competition finalists, Top Coder contenders, and other competitive problem solvers.
You will take on the following responsibilities:- Become an authority for the systems underpinning our research areas (ML, Finance, and/or quantitative algorithms) and help evolve these components
- Work closely with our research partners to conceptualize and iterate within new areas of research and development. Quantitative Engineers can have a diverse mandate including:
- Model development: prototyping, testing, and implementing models utilized across Two Sigma
- Quantitative systems: designing new architectures and/or developing systems that power research and trading activities at Two Sigma
- Quantitative tooling: developing and scaling the tools, frameworks, and libraries that are used by our teams to conduct research and build models - improving performance optimization and scalability of these capabilities
You should possess the following qualifications:- BS in Computer Science, Applied Mathematics, or related technical field
- Minimum 1 year of experience required; 3-10 years of experience preferred
- Professional experience building quantitative software across at least one of the following areas: quantitative finance, math/stats/numeric methods, and machine learning/deep learning
- Experience applying technologies and libraries such as NumPy, SciPy, or scikit-learn
- Experience with scientific computing and algorithm development
- Knowledge of scripting languages such as Python
- A background in building large-scale, real-time, and distributed applications is desired
- While we analyze the data-rich domain of finance, financial experience is not a requirement
You will enjoy the following benefits:- Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
- Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
- Learning: Tuition reimbursement, conference and training sponsorship
- Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
- Hybrid Work Policy: Flexible in-office days with budget for home office setup
The base pay for this role will be between $165,000 and $250,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
